JP6959044B2 - Recording server, recording method and program - Google Patents

Description

The present invention relates to a recording server, a recording method, and a program for recording user actions.

Currently, when trading securities, investors can trade online by accessing the website of the securities company that opened the account and specifying the stock. As a technique related to securities transactions, for example, the technique described in Patent Document 1 is known.

JP 2014-182701

Depending on the investor, by manually recording the details of the transactions made by the investor and the news related to the issue in a notebook etc., it is possible to look back on what kind of transaction one has done for each issue in the future. I am trying to do it. However, since investors often trade multiple stocks at the same time, it is very troublesome to manually record the transactions, etc. that they have made for each stock.

Therefore, it is an object of the present invention to provide a technique for recording and making reference to an investor's own behavior regarding a securities transaction so that a review of the securities transaction can be easily performed. And.

The recording server according to one aspect of the present invention is a recording server that communicates with a terminal used by the user, recognizes the user's behavior content by interpreting a message input from the user, and recognizes the user's behavior content. It also has a language processing unit that records information indicating the recording date and time in the action history storage unit, and an output unit that acquires information indicating the user's action content and recording date and time from the action history storage unit and outputs the information to the terminal.

The recording method according to one aspect of the present invention is a recording method executed by a recording server that communicates with a terminal used by the user, and recognizes and recognizes the action content of the user by interpreting a message input from the user. A step of recording information indicating the user's action content and recording date and time in the action history storage unit, and a step of acquiring information indicating the user's action content and recording date and time from the action history storage unit and outputting it to the terminal. Have.

The program according to one aspect of the present invention is a program to be executed by a computer communicating with a terminal used by the user, and recognizes the action content of the user by interpreting a message input from the user, and recognizes the user's behavior. It has a step of recording information indicating an action content and a recording date and time in an action history storage unit, and a step of acquiring information indicating a user's action content and a recording date and time from the action history storage unit and outputting it to a terminal.

According to the present invention, it is possible to provide a technique for recording and making reference to an investor's own behavior regarding a securities transaction so that a review of the securities transaction can be easily performed. ..

It is a figure which shows an example of the investment behavior record system which concerns on this embodiment. It is a figure which shows an example of the functional structure of the recording server which concerns on this embodiment. It is a figure which shows an example of an action history DB and a brand DB. It is a figure which shows an example of the functional structure of the terminal which concerns on this embodiment. It is a figure which shows the conversation example. It is a figure which shows the conversation example. It is a figure which shows the conversation example. It is a figure which shows the display example at the time of displaying the user's behavior, etc. about stock investment in chronological order. It is a figure which shows the display example at the time of displaying the user's behavior, etc. about stock investment in a graph format. It is a figure which shows the display example at the time of displaying the purchase purpose of each brand in a list.

Preferred embodiments of the present invention will be described with reference to the accompanying drawings. In each figure, those having the same reference numerals have the same or similar configurations. In the following explanation, stock transactions will be described as an example of securities transactions, but this action recording system is not limited to stock transactions, but applies to all user behavior records, including securities transactions in general. It is possible.

FIG. 1 is a diagram showing an example of an investment behavior recording system according to the present embodiment. The investment behavior recording system according to the present embodiment is a recording server 10 that records the investment behavior of a user (investor) regarding securities trading, a terminal 20 used by the user, and a trading server that actually trades stocks and the like. It has 30 and an external server 40. Although one external server 40 is shown in FIG. 1, the investment behavior recording system may have a plurality of external servers 40.

The recording server 10 is provided with a dialogue engine that interacts with the user in a natural sentence, understands the user's intention by interpreting a message input from the user on the screen provided by the terminal 20, and the user. Perform processing according to the intention of (for example, buying and selling stocks, etc.). Further, the recording server 10 has a function of recording the processing performed according to the user's intention as the user's behavior related to the stock transaction and displaying the recorded user's behavior on the terminal 20 in chronological order.

Further, the recording server 10 recognizes the emotions that the user has through the stock trading by interpreting the message input from the user, and records the recognized emotions of the user together with the user's behavior regarding the stock trading. It has a function of acquiring predetermined content (for example, bright music when the stock price is falling and the user is depressed) from the external server 40 and notifying the user according to the recognized emotion of the user. In addition, the recording server 10 has a function of notifying the user of news or the like regarding a stock stock that the user has instructed to register as a stock stock that the user is interested in or a stock stock that the user has purchased. Instructing the user to register a stock issue that he / she is interested in is called "favorite registration".

The recording server 10 includes a processor, a memory, and a storage device. The recording server 10 may be realized as one information processing device, or may be realized as a plurality of independent information processing devices. Further, the recording server 10 may be realized by using a virtual server or a cloud server.

The terminal 20 includes a processor, a memory, and a storage device, and has a function of displaying a message input by the user and a message output from the recording server 10 in a chat format. The terminal 20 is mainly assumed to be a smartphone or a tablet terminal, but is not limited to this, and is used for communication such as a personal computer (PC), a notebook PC, a personal digital assistant (PDA), a home-use game device, and a PHS. Any terminal with a function can be used.

The terminal 20 and the recording server 10 may input / output a message by voice instead of inputting / outputting a message in a chat format. For example, by providing the terminal 20 or the recording server 10 with a voice recognition function and a voice synthesis function, it is possible to realize input / output of a voice message with the user. Further, the terminal 20 and the recording server 10 may input a message by a user's gesture, eye movement, or the like.

The trading server 30 is a server that actually trades stocks and the like, and is a server that manages securities accounts, manages favorite registered stocks, and actually buys and sells stocks.

The external server 40 is assumed to be a server provided by a third party, for example, a Web server that provides IR (Investor Relations) information of a company, a server that distributes various news about the stock market, music, and the like. It is a server that provides contents such as videos, games, and gourmet information. The external server 40 is not necessarily a server provided by a third party, but may be a server provided by the company.

<Functional configuration>
FIG. 2 is a diagram showing an example of the functional configuration of the recording server 10 according to the present embodiment. The recording server 10 according to the present embodiment includes a language processing unit 101, an output unit 102, an information collecting unit 103, an external cooperation unit 104, and a storage unit 105. Each of these functional units can be realized by a process of causing the CPU to execute a program stored in the memory of the recording server 10. In addition, the program can be stored in a storage medium. Further, the storage unit 105 can be realized by using a memory or a storage device included in the recording server 10, a storage device connected to the recording server 10 via a network, or the like.

The language processing unit 101 includes a dialogue engine 1011 that engages in a natural language dialogue with the user. The dialogue engine 1011 interprets a message input from the user via the terminal 20, performs a predetermined process according to the user's intention, generates a response message to the message input from the user, and transmits the response message to the terminal 20. It has a function of generating a message including information to be notified to the user and a function of transmitting the message to the terminal 20. Further, the language processing unit 101 may have a function of recognizing a voice and converting it into a character string (speech recognition function) and a function of changing from a character string to a voice (speech synthesis function).

Further, the language processing unit 101 includes a history recording unit 1012. The dialogue engine 1011 recognizes the user's action content regarding the stock transaction by interpreting the message input from the user, and notifies the history recording unit 1012 of the recognized action content. The history recording unit 1012 records the user's action content notified from the dialogue engine 1011 in a database (hereinafter, referred to as "action history DB") for recording the user's action content. More specifically, the history recording unit 1012 records in the action history DB information indicating the user's action content and the date and time (date and time recorded in the action history DB) notified from the dialogue engine 1011.

The user's behavior regarding stock trading includes registering a stock issue that the user is interested in as a favorite, and instructing the user to buy or sell stock. For example, when the message input by the user includes the phrase "register the brand xxx as a favorite", the dialogue engine 1011 instructs the transaction server 30 to register the brand xxx, and at the same time, the transaction server 30 is instructed to register the brand xxx. The history recording unit 1012 is notified that the brand xxx has been registered as a favorite as the action content of the user. Further, for example, when the message input from the user includes the phrase "purchase 100 shares of the brand xxx", the dialogue engine 1011 requests the trading server 30 to purchase 100 shares of the brand xxx. At the same time, the history recording unit 1012 is notified as the action content of the user that 100 shares of the brand xxx have been purchased.

Further, the dialogue engine 1011 recognizes the emotions that the user has through the stock transaction by interpreting the message input from the user, and notifies the history recording unit 1012 of the recognized emotions of the user. The history recording unit 1012 records the user's emotion and the date and time (the date and time when the user's emotion is recorded in the action history DB) notified from the dialogue engine 1011 in the action history DB.

The dialogue engine 1011 has user feelings such as "happy" (for example, feelings when feeling profitable), "expecting" (for example, feelings when expecting a rise in stock prices), and "disappointment" (disappointment). For example, the four types of emotions that users have about stock trading are recognized as "feelings that they have when stock prices are falling and falling" and "patience" (for example, feelings that they have when they are expecting a stock price revival or further rise). These emotions are merely examples and are not limited thereto. The dialogue engine 1011 may recognize more emotions.

Further, the dialogue engine 1011 recognizes the user's comment (tweet) about the stock transaction by interpreting the message input from the user, and notifies the history recording unit 1012 of the recognized user's comment. good. The history recording unit 1012 records the comment notified from the language processing unit 101 in the action history DB together with the date and time (the date and time when the comment is recorded in the action history DB).

Further, the dialogue engine 1011 transmits a message including information on the stock stock registered as a favorite by the user or the stock stock purchased by the user to the terminal 20. The information includes, for example, stock prices registered as favorites by the user or stock prices purchased by the user, IR information, news, valuation gains / losses, dividends, dividend yields, advice on trading timing based on investment styles, and the like. The dialogue engine 1011 recognizes the user's behavior regarding the stock transaction, or sends a message including information on the stock stock registered as a favorite by the user or the stock stock purchased by the user to the terminal 20. A message prompting the user to input emotions (for example, a message such as "What is your current feeling?") May be transmitted to the terminal 20.

In addition, the dialogue engine 1011 recognizes the purchase purpose and / or investment style of the stocks purchased by the user by interpreting the message input from the user, and records the recognized purchase purpose and / or investment style in the history recording unit. Notify 1012. The history recording unit 1012 records the purchase purpose and / or investment style notified from the dialogue engine 1011 in a database (hereinafter referred to as "brand DB") that records the purchase purpose and the like of each brand. The investment style means, for example, whether to invest the stock with the intention of holding it for a long period of time (long-term investment) or with the intention of selling it in a short period of time (short-term investment).

Further, the dialogue engine 1011 recognizes the content of the information to be notified to the user and the condition specified by the user as the timing to notify the information by interpreting the message input from the user, and is designated. The information may be transmitted to the terminal 20 at the timing when the condition is satisfied. The information to be notified to the user is, for example, that the stock price of the stock registered as a favorite by the user has become the stock price specified by the user, and the valuation profit / loss of the stock purchased by the user has become the valuation profit / loss specified by the user. That and so on.

The output unit 102 acquires the user's action content and the date and time when the action content was recorded from the action history DB, and outputs the user's action content to the terminal 20. The output user action contents are displayed in chronological order on the screen of the terminal 20. Further, the output unit 102 may acquire the user's emotion and the date and time when the emotion was recorded from the action history DB and output it to the terminal 20. The output user action contents and user emotions are displayed in chronological order on the screen of the terminal 20. Further, the output unit 102 outputs the purchase purpose of each stock issue acquired by the dialogue engine 1011 and recorded in the issue DB to the terminal 20 in association with each stock issue purchased by the user. The purchase purpose for each of the output stocks is displayed in a list on the screen of the terminal 20.

The information collecting unit 103 has a function of collecting and analyzing IR information of each company, news about the stock market, and the like from the external server 40. The collected and analyzed information is transmitted from the language processing unit 101 to the terminal 20 as information related to the stock stock registered as a favorite by the user or the stock stock purchased by the user, for example.

The external cooperation unit 104 has a function of requesting a predetermined content according to the recognized user's emotion from the external server 40 when the user's emotion is recognized from the message input by the user in the dialogue engine 1011. Further, the external cooperation unit 104 has a function of acquiring the requested predetermined content from the external server 40. The acquired predetermined content is included in the message transmitted from the dialogue engine 1011 to the user and transmitted to the terminal 20. In addition, the predetermined content according to the user's emotion is content that energizes the user when the user has "disappointing" emotion, for example, bright music, gourmet information of energetic gourmet, etc. be. In addition, when the user has a feeling of "patience", the content is distracting to the user, for example, a funny video.

The storage unit 105 stores the action history DB and the brand DB. The action history DB and the brand DB are individually stored for each user. FIG. 3A shows an example of the action history DB. In the "recording date and time" field, the date and time when the information was recorded in the action history DB is stored. The stock name or stock code of the stock stock is stored in the "stock" field. In the "action content" field, the action content of the user recognized by the dialogue engine 1011 (for example, favorite registration, stock purchase, stock sale, etc.) is stored. The "Transaction Details" field stores the details of the transactions made by the user when the user purchases shares or sells shares. In the "transaction content" field, for example, the number of shares purchased or the number of shares sold, the purchase price (acquisition price) or the selling price, and the gain or loss on sale (only in the case of selling shares) are stored. When the dialogue engine 1011 recognizes the user's emotion, the "emotion" field stores the recognized user's emotion (for example, happy, expecting, disappointed, patience, etc.). When the dialogue engine 1011 recognizes the user's comment, the "comment" field stores the recognized user's comment.

FIG. 3B shows an example of the brand DB. The "stock" field stores the stock name or stock code of the stock stock purchased by the user. The "Purchase Purpose" field stores the purchase purpose of the stock stock purchased by the user, which is recognized by the dialogue engine 1011 by interpreting the message input from the user. The "investment style" field stores the investment style of the stock stock purchased by the user, which is recognized by the dialogue engine 1011.

As described above, the dialogue engine 1011 uses the message input by the user to describe the user's behavior regarding the stock transaction, the emotions the user has through the stock transaction, the user's comment (tweet) about the stock transaction, and the user's purchase. Recognize the purpose of purchasing the stock and the investment style of the stock purchased by the user. Any processing method may be used as the processing method for performing these recognitions. For example, the dialogue engine 1011 uses morphological analysis or the like to analyze nouns, verbs, etc. contained in a message input by the user. These may be recognized by extracting and comparing the extracted nouns, verbs, etc. with a prepared dictionary.

Further, the dialogue engine 1011 may extract necessary information from the user by using a dialogue scenario in which a message input by the user and a response rule of the system for the message are defined. For example, when a user places an order for stocks, if the message entered by the user does not include the number of stocks, a message asking the number of stocks to be purchased is returned to the user in the dialogue scenario. Therefore, the dialogue engine 1011 can perform an operation of returning a message asking for the number of shares to the user when the number of shares to be purchased is unknown. In addition, in the dialogue scenario, after the exchange of a series of messages regarding the purchase of stocks is completed, a series of actions of returning a message asking the user about the purpose of purchasing the stock and the feelings (feelings) at the time of purchase are used in the dialogue scenario. By describing the description, the dialogue engine 1011 can perform an operation such as asking the purchase purpose of the stock and feelings (feelings) at the time of purchase after the purchase of the stock is completed.

FIG. 4 is a diagram showing an example of the functional configuration of the terminal 20 according to the present embodiment. The terminal 20 according to this embodiment has a communication unit 201, an input unit 202, and a display unit 203. Each of these functional units can be realized by a process of causing the CPU to execute a program stored in the memory of the terminal 20. In addition, the program can be stored in a storage medium.

The communication unit 201 communicates with the recording server 10, transmits a message input by the input unit 202, and receives information necessary for generating a screen to be displayed on the display unit 203.

The input unit 202 receives input from the user via, for example, a touch panel or a keyboard. The display unit 203 displays the information received from the recording server 10 on a screen such as a touch panel included in the terminal 20.

<Operation example>
(Record of action history)
Subsequently, a specific example of the operation in which the recording server 10 records the user's action history based on the content of the conversation will be described with reference to a conversation example performed between the user and the recording server 10.

The conversations of M101 to M113 shown in FIG. 5 are examples of conversations between the user A and the recording server 10 when the stock is purchased. It is assumed that the user A has already opened a securities account on the transaction server 30.

First, the message M101 is notified from the user A. The language processing unit 101 of the recording server 10 interprets the message M101 and recognizes that the user A requests that the brand xxx be registered as a favorite. The language processing unit 101 instructed the transaction server 30 to register the brand xxx as a favorite in the account of the user A, and registered the brand xxx as a favorite in the action history DB of the user A as the action content of the user A. To record. Specifically, the language processing unit 101 records the current date and time in the "recording date and time" field of the user A's action history DB, records the brand code of the brand xxx in the "brand" field, and records the brand code of the brand xxx in the "action content" field. Record "favorite registration" in. Subsequently, the language processing unit 101 returns a message M102 asking for a comment regarding the completion of the favorite registration and the user's favorite registration.

Subsequently, the user A notifies the reply message M103 to the message M102. The language processing unit 101 of the recording server 10 recognizes the user's comment by interpreting the message M103, and records the recognized comment in the action history DB of the user A. Specifically, the language processing unit 101 records "because the AI brand looks good" in the "comment" field of the record in which the user A has registered the brand xxx as a favorite in the message M101.

The operation of the messages M101 to M103 is, for example, when the user requests the favorite registration in the dialogue scenario, a message asking for a comment about the favorite registration is sent, and the reply message from the user is sent to the "comment" field of the action history DB. It can be realized by describing a series of behaviors of recording in.

Subsequently, the user A notifies the message M104 requesting the notification of the stock price. The language processing unit 101 recognizes that the user A should be notified when the stock price of the issue xxx approaches 2000 yen by interpreting the message M104, and the notification condition (when the stock price of the issue xxx approaches 2000 yen). ), The notification destination (user A), and the content of the notification (the stock price of the brand xxx approaches 2000 yen) are stored in the memory. It should be noted that it is possible to determine how much the stock price should be when it is determined to be "approaching" by defining it as a processing logic in the language processing unit 101 in advance.

Subsequently, the language processing unit 101 returns a message M105 indicating that the stock price notification request has been accepted. Further, when the language processing unit 101 inquires the transaction server 30 about the stock price of the stock xxx and recognizes that the stock price of the stock xxx has approached 2000 yen, the language processing unit 101 informs the user A that the stock price of the stock xxx has approached 2000 yen. The notification message M106 is transmitted.

Subsequently, the user A notifies the message M107 that "For the brand xxx, point to 1000 shares and 2000 yen, and place an order with a specific account until the end of February." The language processing unit 101 interprets the message M107 and recognizes that the user A is requesting an order for the brand xxx. The language processing unit 101 instructs the transaction server 30 to place an order for the brand xxx, and when the transaction server 30 notifies that the order of user A has been executed, the user sends a message M109 notifying that the order has been executed. Send to A. Further, the language processing unit 101 of the recording server 10 records in the action history DB of the user A that the brand xxx has been purchased as the action content of the user A. Specifically, the language processing unit 101 records the current date and time in the "recording date and time" field of the user A's action history DB, records the brand code of the brand xxx in the "brand" field, and records the brand code of the brand xxx in the "action content" field. Record the "stock purchase" in, and record the purchase price and the number of shares purchased in the "transaction content" field.

Subsequently, the language processing unit 101 transmits a message M110 asking the user A for the purpose of purchasing the brand xxx, and records the content of the message M111 returned from the user A in the brand DB of the user A. Specifically, the brand code of the brand xxx is recorded in the "brand" field of the brand DB of the user A, and the content of the message M111 ("intention to use for retirement funds") is recorded in the "purchase purpose" field. In addition, the language processing unit 101 estimates from the content of the message M111 that the user A purchased the brand xxx with the intention of investing in the long term instead of buying and selling in the short term, and plans to make a long-term investment in the "investment style" field. Record a flag indicating that. The language processing unit 101 holds in advance knowledge data in which a large amount of keywords that can be presumed to be a long-term investment plan and keywords that can be presumed to be a short-term investment plan are described, and these are stored in a message from the user. The investment style of the stock may be recognized by searching whether or not the keyword is included. Further, when the language processing unit 101 cannot recognize the investment style only by the message from the user, the language processing unit 101 may send a message asking the user A whether the stock is a long-term investment plan or a short-term investment plan. ..

Subsequently, the language processing unit 101 transmits to the user A a message M112 asking the user A's feelings at the time of purchasing the brand xxx, and the content of the message M113 returned from the user A is the brand of the user A. Record in DB. Specifically, as the action content of the user A, "expecting" indicating the user's emotion is recorded in the "emotion" field of the record in which the purchase of the brand xxx is recorded.

The operation of the messages M109 to M113 can be realized by describing, for example, a series of behaviors in a dialogue scenario, in which, when an order is executed, the purchase purpose, investment style, and current feelings are asked.

The conversations M114 to M116 shown in FIG. 5 are examples of conversations when the recording server 10 asks the user for the presence or absence of information to be notified. The recording server 10 may inquire about the presence or absence of information to be notified at a predetermined timing, for example, when a stock is purchased.

The language processing unit 101 transmits a message M114 inquiring about the presence or absence of information to be notified to the user A. Subsequently, the user A notifies the message M115 "Tell me when the valuation loss reaches -10%". By interpreting the message M115, the language processing unit 101 recognizes that the user A should be notified at the timing when the valuation loss of the brand xxx becomes −10%, and stores the timing in the memory. In addition, a message M116 indicating that the content to be notified has been accepted is transmitted to the user A.

The conversations M117 to M118 shown in FIG. 5 are examples of conversations when the recording server 10 side notifies the user of information. The recording server 10 transmits a thank-you note received from the company of the brand xxx to the user A in the message M117 and the message M118. For example, depending on the brand, there are cases where a thank-you note is sent to a user who has acquired shares from the company of that brand. In such a case, if a user purchases a stock of a specific stock, a dialogue scenario such as sending a thank-you note from the company of that stock can be set in advance to select the specific stock. It is possible to realize an operation such as sending a thank-you note to the user who purchased the product.

The conversations of M201 to M207 shown in FIG. 6 are conversation examples in the case of notifying the information (notifying that the evaluation loss has reached -10%) for which the user has previously requested notification by the message M115 of FIG. be.

The language processing unit 101 detects that the notification condition requested in the message M115 is satisfied, notifies the user A that the valuation amount has reached -10%, and whether or not to sell the shares. Message M201 is sent. In addition, when the notification condition requested by the user is satisfied, whether to simply notify or ask the next action (for example, sale) in addition to the notification is determined by the notification condition requested by the user. Depending on the content, it may be switched by describing it in the dialogue scenario in advance. For example, a dialogue scenario may be written to ask whether or not to sell the stock when notifying the stock price or the valuation price.

Subsequently, the user A sends a message M202 that the stock is held. The language processing unit 101 interprets the message M202 and recognizes that the user A has no intention of selling the stock of the stock xxx. The language processing unit 101 sends a message M1203 asking the user A about the feelings of the user A who has determined not to sell the brand xxx, and records the content of the message M204 returned from the user A in the brand DB of the user A. do. Specifically, the language processing unit 101 records the current date and time in the "recording date and time" field, and records "patience" indicating the user's emotion in the "emotion" field.

Subsequently, the language processing unit 101 transmits a message M205 prompting the user to change his / her mood. User A transmits the response message M206 to the message M205. The external cooperation unit 104 of the language processing unit 101 requests the external server 40 for music corresponding to the user's emotion being "patient", and a message including the URL of the music content notified from the external server 40. Send M207 to the user. The conversation of the messages M204 to M207 is realized, for example, by describing in advance in the dialogue scenario the operation of requesting the content corresponding to the recognized user's emotion to the external server 40 when the user's emotion is recognized. It is possible. The terminal 20 notifies the recording server 10 whether or not the user has actually viewed the notified content, and the language processing unit 101 acts whether or not the user has actually viewed the notified content. It may be recorded in a history DB or the like. By referring to the record, it becomes possible to determine after the fact whether or not the content of the notified content is appropriate.

The conversations of M301 to M302 shown in FIG. 6 are examples of conversations when answering a question requested by a user. First, user A sends a message M301 asking for an analysis of the company of brand xxx. The language processing unit 101 recognizes that the user wants to be notified of the information analyzed about the company of brand xxx, and acquires and acquires the information about the company of brand xxx collected and analyzed by the information collection unit 103. The message M302 containing the above-mentioned information is transmitted.

The conversations of M401 to M404 shown in FIG. 6 are examples of conversations when the user gives information notification regarding the purchased brand and advice (recommendation) on trading timing based on the investment style. For example, the language processing unit 101 transmits a message M401 notifying when it is determined that the golden cross will reach the brand purchased by the user. Subsequently, the user sends a message M402 containing a question about buying and selling. The language processing unit 101 acquires the investment style of the brand determined to reach the golden cross from the user's brand DB, and transmits a message M403 including advice on trading timing based on the acquired investment style. In order to realize such an operation, for example, a large number of templates describing changes in stock prices, investment styles, and advice contents to be presented to users are prepared, and the language processing unit 101 prepares a large number of templates according to the templates. You may decide to give advice on the timing of buying and selling to be notified to. Further, for example, the language processing unit 101 may determine the advice on the trading timing to be notified to the user by inputting the stock price transition and the investment style into a predetermined algorithm.

The conversations of M501 to M504 shown in FIG. 7 are conversation examples when the user desires to notify information about a brand other than the purchased brand. First, the user A sends a message M501 asking for a recommended brand. Subsequently, the language processing unit 101 transmits a message M502 asking for the field of the recommended brand, determines the recommended brand by interpreting the message M503 returned from the user, and sends a message M504 to answer the determined brand. Send.

The operation of the messages M501 to M504 is, for example, when the user requests a recommended brand in a dialogue scenario, and the field of the brand desired by the user is not indicated by the user, the field of interest to the user is set. This can be achieved by describing the action of asking in a dialogue scenario. The brand that the recording server 10 responds to the user as a recommended brand may be prepared as a template in advance in units such as the field of the brand.

The conversations of M601 to M609 shown in FIG. 7 are examples of conversations when a user sells shares. First, the user A notifies the message M601 requesting the sale of the stock. The language processing unit 101 interprets the message M107, recognizes that the user A is requesting the sale of the stock xxx, recognizes that the period for placing the order is not included in the message M601, and places the order. A message M602 asking the insertion period is sent to the user A. Upon receiving the message M603 for replying the period for placing an order from the user, the language processing unit 101 instructs the trading server 30 to place an order for sale of the brand xxx, and the trading server 30 notifies that the order has been executed. In this case, a message M604 notifying that the order has been executed is transmitted to the user A. Further, the language processing unit 101 records in the action history DB of the user A that the brand xxx has been sold as the action content of the user A. Specifically, the language processing unit 101 records the current date and time in the "recording date and time" field of the user A's action history DB, records the brand code of the brand xxx in the "brand" field, and records the brand code of the brand xxx in the "action content" field. Record the "sale of shares" in the "Transaction details" field, and record the sale price, the number of shares sold, and the gain or loss on sale.

Subsequently, the language processing unit 101 transmits a message M606 asking the user A for the reason for selling the brand xxx, and records the content of the message M607 returned from the user A in the action history DB of the user A. Specifically, the language processing unit 101 records "I want to buy a washing machine" in the "comment" field of the record in which the user A has sold the stock in the message M604.

Subsequently, the language processing unit 101 transmits to the user A a message M608 asking the user A's feelings at the time when the brand xxx is sold, and the content of the message M609 returned from the user A is the brand of the user A. Record in DB. Specifically, as the action content of the user A, "happy" indicating the user's emotion is recorded in the "emotion" field of the record recording that the brand xxx has been sold.

The operation of the messages M605 to M609 can be realized by describing a series of behaviors, for example, in a dialogue scenario, in which, when an order is executed, the reason for sale and the emotion at the time of sale are asked.

(List display of action history)
Subsequently, a display example when displaying the user's action history recorded based on the content of the conversation between the user and the recording server 10 on the terminal 20 will be described.

FIG. 8 is a diagram showing a display example when displaying user behaviors and the like related to stock investment in chronological order. As shown in FIG. 8, the display unit 203 of the terminal 20 displays the brand name of the designated brand, the information stored in the user's action history DB for the designated brand, and the related information (news, etc.) related to the brand. ) Is displayed in chronological order.

In addition, in FIG. 8, the history of “2016/10/30 1st half settlement of accounts. First surplus.” Is an example of news regarding the designated issue xxx. The other history is an example of the content recorded in the "recording date / time", "action content", "transaction content", or "comment" of the action history DB.

Further, in the upper right of FIG. 8, an icon 1001 representing a user's emotion is displayed. In the present embodiment, an icon is predetermined for each user's emotion (“happy”, “expected”, “disappointed”, “patient”) recorded in the “emotion” field of the action history DB. On the screen shown in FIG. 8, for example, an icon corresponding to the latest user's emotion may be displayed. The latest user's emotion is intended to be an emotion in which the "recording date and time" field is stored in the "emotion" field of the newest record in the action history DB.

FIG. 9 is a diagram showing a display example when displaying the user's behavior and the like related to stock investment in a graph format. As shown in FIG. 9, the display unit 203 of the terminal 20 shows the brand name of the designated brand, the purpose of purchasing the designated brand, the transition of the stock price of the designated brand, and the stock is registered as a favorite. The timing, the stock price when the stock was bought and sold, the number of shares purchased (or sold), the icon showing the user's feelings at the time when the stock was bought and sold, and the account of the user's securities account. Display the transition of the balance in a graph format.

The items to be displayed on the screen shown in FIG. 9 may be arbitrarily selected by tab 2001. For example, the graph showing the stock price transition of a specified stock can be switched to display related information (market conditions, corporate news, etc.) related to the stock instead of (or in addition to) the icon showing the user's emotions. You may. Further, on the graph format screen shown in FIG. 9, a plurality of brands may be displayed in an overlapping manner.

In order to realize the display shown in FIGS. 8 and 9, the output unit 102 of the recording server 10 describes the designated brand from the behavior history DB of the designated user with respect to the designated user and brand from the terminal 20. The "recording date and time", "action content", "transaction content", "emotion" and "comment" are extracted and output to the terminal 20. Further, the output unit 102 further outputs the related information (market conditions, corporate news, etc.) regarding the designated brand, the date and time when the related information was announced, the stock price transition, and the account balance transition to the terminal 20. Related information (market conditions, corporate news, etc.) regarding the designated brand may be collected by the information collecting unit 103 from the external server 40. Similarly, the stock price transition and the account balance transition may be collected by the information collecting unit 103 from the transaction server 30.

Further, the weather for each date and time may be displayed on the screens displayed in FIGS. 8 and 9. In this case, the output unit 102 may collect past weather from the external server 40 via the information collection unit 103 and transmit it to the terminal 20.

(List of stocks held)
Subsequently, a display example when displaying a list of brands owned by the user on the screen of the terminal 20 will be described. FIG. 10 is a diagram showing a display example when displaying a list of purchase purposes of each brand. As shown in FIG. 10, the display unit 203 of the terminal 20 shows the number of shares held, the current stock price, and the valuation profit / loss (final for the stocks held in the past) for the stocks held by the user and held in the past. Profit and loss) and the purpose of purchasing the stock are listed. Further, for the purpose of purchasing the brand, icons (icons A to F) corresponding to the purpose of purchase may be displayed. In addition, for stocks held in the past, the necessity of display may be arbitrarily switched.

In order to realize the display shown in FIG. 10, the output unit 102 of the recording server 10 extracts the "brand" and the "purchase purpose" from the brand DB of the user designated from the terminal 20 and outputs the "brand" and the "purchase purpose" to the terminal 20. Further, the output unit 102 trades the number of shares held, the current stock price, and the valuation profit / loss (or the final profit / loss) for the stocks held by the user and the stocks held in the past via the information collecting unit 103. It is acquired from the server 30 and output to the terminal 20. The icon to be displayed as an icon according to the purpose of purchase may be determined by the output unit 102 based on the character string included in the purpose of purchase and notified to the terminal 20. For example, since the purpose of purchasing the brand ddd includes the wording of "grandchild", the output unit 102 determines an icon including a child's picture as an icon to be displayed on the brand ddd, and determines the image or the determined icon of the icon. An identifier that can identify the image of the icon may be output to the terminal 20.

The investment behavior recording system according to this embodiment has been described above. According to the present embodiment, the actions taken by the user for a specific brand are automatically recorded and displayed on the screen of the terminal 20 in chronological order. As a result, the user can look back on the actions taken by himself / herself regarding stock investment like a diary without manually recording them in a notebook or the like, and can utilize them in future investment activities. Further, according to the present embodiment, in addition to the actions taken by the user in the stock transaction, the emotions held by the user through the stock transaction can be automatically recorded. This makes it possible to look back on changes in one's emotions in chronological order in a series of stock transactions. Further, according to the present embodiment, it is possible to provide the user with contents such as music according to the emotions held by the user. As a result, stock transactions can be linked to content such as music, which can be useful for developing new customer service.

Further, according to the present embodiment, it is possible to display a list of purchase purposes, valuation gains / losses, etc. of each issue for the issues that the user owns or has held in the past. As a result, the user can easily grasp the purpose of purchasing each brand without manually recording the purchase purpose of the brand in his / her own in a notebook or the like.

Further, according to the present embodiment, the recording server 10 makes it possible to carry out stock transactions through a chat-style conversation with the user. As a result, even a user who is not accustomed to stock trading can easily perform stock trading.

[Other Embodiments]
The embodiments described above are for facilitating the understanding of the present invention, and are not for limiting and interpreting the present invention. Each element included in the embodiment and its arrangement, material, condition, shape, size, and the like are not limited to those exemplified, and can be changed as appropriate. In addition, the configurations shown in different embodiments can be partially replaced or combined.

For example, in the embodiment described above, a mode of interpreting a message input from a user and recognizing a user's behavior or emotion regarding stock trading has been described. However, the present invention is not limited to this, and a message input from the user may be interpreted to recognize the behavior and emotions of any user. For example, when playing sports such as golf and boring, the user may enter a message that includes information about his or her score and feelings at that time, and the user says, "Double bogey, I'm not feeling well today." If you enter, the dialogue engine 1011 will infer from the word "double bogey" that the user is doing something related to golf and generate a confirmation message such as "Are you playing golf now?" good. Furthermore, the dialogue engine 1011 infers from the word "not in good condition" contained in the user's message that the user's emotions are negative and needs advice, and asks, "Do you need advice? A response message such as "How about the music to be output?" May be generated, and when the user further responds with "Like" or the like, the predetermined content may be acquired from the external server 40 and provided to the user. Further, the dialogue engine 1011 or the information collecting unit 103 may acquire and record information such as the golf course and the weather in which the user is playing by using the position information acquisition function or the map application provided in the terminal 20. The dialogue engine 1011 may record information on the user's behavior and emotions by using a message such as "I'm going to enjoy golf now" input by the user immediately before the round as a trigger. Further, the output unit 102 may analyze the recorded contents and provide the terminal 20 with a dashboard of the user's average score, score transition, and emotions associated with each score.

10 ... Recording server, 20 ... Terminal, 30 ... Transaction server, 40 ... External server, 101 ... Language processing unit, 102 ... Output unit, 103 ... Information collection unit, 104 ... External cooperation unit, 105 ... Storage unit, 201 ... Communication Unit, 202 ... Input unit, 203 ... Display unit, 1011 ... Dialog engine, 1012 ... History recording unit

Claims (9)

A recording server that communicates with the terminal used by the user.
By interpreting the message input from the user, the user's behavior content and the emotion held by the user through the user's behavior are recognized, and the information indicating the recognized user's behavior content and recording date and time is recognized. A language processing unit that records information indicating the user's emotions and information indicating the recording date and time in the action history storage unit, and
For users and shares stocks designated from the terminal, from the action history storage unit, information indicating the action content and recording date of the specified user, information and recording date indicating the feelings of the specified user The designated information is acquired, and the designated user's behavior content and the designated user's emotional information are displayed in chronological order in association with the transition of the stock price of the stock. An output unit that outputs information indicating the action content and recording date and time of the user, information indicating the emotion of the designated user, information indicating the recording date and time, and information indicating the transition of the stock price of the brand to the terminal. ,
Recording server with. When the language processing unit recognizes the emotion of the user, an external server different from the recording server is requested to provide predetermined content according to the recognized emotion of the user, and the external server requests the predetermined content according to the recognized emotion of the user. Has an external collaboration department, which acquires the contents of
The language processing unit includes the predetermined content in a message to be transmitted to the user and transmits the terminal to the terminal.
The recording server according to claim 1. The user's behavior is related to securities transactions,
The language processing unit transmits a message including information on the stock stock that the user has instructed to register or the stock stock that the user has purchased to the terminal.
The recording server according to claim 1 or 2. The information about the stock stock that the user has instructed to register or the stock stock that the user has purchased is at least one of the stock price of the stock stock, current affairs information about the stock stock, valuation profit / loss of the stock stock, and advice on trading timing. Including one,
The recording server according to claim 3. When the language processing unit recognizes the action content of the user, or when the user sends a message including information on the stock brand for which the user has instructed to register or the stock brand purchased by the user to the terminal, the language processing unit said. Sending a message to the terminal prompting the user to input emotions,
The recording server according to claim 3 or 4. The language processing unit recognizes the purpose of purchasing the stocks purchased by the user by interpreting the message input by the user.
The output unit outputs the purchase purpose for each recognized stock issue to the terminal in association with each stock issue purchased by the user.
The recording server according to any one of claims 1 to 5. The action content of the user is an action of instructing the registration of a stock issue or an action of instructing the buying and selling of a stock.
The recording server according to any one of claims 1 to 6. A recording method executed by a recording server that communicates with the terminal used by the user.
By interpreting the message input from the user, the user's action content and the emotion held by the user through the user's action are recognized, and the recognized information indicating the user's action content and the recording date and time is recognized. A step of recording the information indicating the emotion of the user and the information indicating the recording date and time in the action history storage unit, and
For users and shares stocks designated from the terminal, from the action history storage unit, information indicating the action content and recording date of the specified user, information and recording date indicating the feelings of the specified user The designated information is acquired, and the designated user's behavior content and the designated user's emotional information are displayed in chronological order in association with the transition of the stock price of the stock. A step of outputting to the terminal information indicating the action content and recording date and time of the user, information indicating the emotion of the designated user, information indicating the recording date and time, and information indicating the transition of the stock price of the brand.
Recording method having. A program that is executed by a computer that communicates with the terminal used by the user.
By interpreting the message input from the user, the user's action content and the emotion held by the user through the user's action are recognized, and the recognized information indicating the user's action content and the recording date and time is recognized. A step of recording the information indicating the emotion of the user and the information indicating the recording date and time in the action history storage unit, and
For users and shares stocks designated from the terminal, from the action history storage unit, information indicating the action content and recording date of the specified user, information and recording date indicating the feelings of the specified user The designated information is acquired, and the designated user's behavior content and the designated user's emotional information are displayed in chronological order in association with the transition of the stock price of the stock. A step of outputting to the terminal information indicating the action content and recording date and time of the user, information indicating the emotion of the designated user, information indicating the recording date and time, and information indicating the transition of the stock price of the brand.
Program with.

Images